Data Annotation and Data Labeling Services
Looking to unlock the full potential of your AI and machine learning initiatives? Biz-Tech Analytics is your trusted partner, offering cutting-edge data annotation services designed to accelerate the performance of your AI solutions. Our expert teams deliver precise, scalable, and tailored AI data annotation services that drive transformative insights across diverse industries.
Our Clients
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Success Metrics
What is Data Annotation?
Data annotation is the critical process of preparing raw data—whether it’s text, images, audio, or video—for AI and machine learning models. At Biz-Tech Analytics, we specialize in labeling unstructured data with precision to help AI systems recognize patterns, relationships, and significance. With our AI data annotation services, we ensure your AI models are built on a foundation of high-quality, well-annotated data.
The Power of High-Quality Data Annotation
Inaccurate data can lead to flawed AI models. With Biz-Tech Analytics, every dataset is meticulously annotated to ensure the highest level of accuracy, resulting in smarter, more adaptive AI models that perform effectively across real-world scenarios. Whether you’re in healthcare, manufacturing, or autonomous vehicles, precise data annotation makes all the difference. As a leading AI data annotation company, we deliver tailored solutions to meet the unique needs of various industries.
Improved Model Accuracy
Our AI data annotation service follows a data-centric approach, guaranteeing that each annotation is consistent and precise, enabling quicker decision-making and better results for your AI models.
Cost-Effective Training
With well-annotated data, reduce the need for expensive retraining cycles and accelerate your AI development process. Our data annotation service providers ensure cost-efficiency without compromising quality.
Consistent Excellence for Optimal Performance at Scale
Quality is at the core of everything we do. Our rigorous quality control measures ensure that every annotation meets the highest standards, even at scale, leading to AI models that are not only effective but also consistently reliable in real-world applications.
Precision for Critical Applications
When accuracy is non-negotiable—whether in healthcare diagnostics, autonomous driving, or financial forecasting—our detailed annotations provide the reliability your AI models need to perform flawlessly in real-world scenarios.
Enhanced Data, Superior Models
We don’t just annotate; we enrich complex datasets by focusing on relevant features that help AI models learn better. This enhanced data preparation results in smarter, more adaptive models that can handle complex and varied inputs with ease.
Data Annotation Examples
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Types of Data Annotation Services We Offer
At Biz-Tech Analytics (BTA), we offer a diverse range of data annotation services to meet the unique needs of your business:
Image Annotation
We provide precise labeling for general and industry-specific image datasets through our image data annotation service. Our methods, including bounding boxes, semantic segmentation, and 3D cuboids, are ideal for applications like autonomous vehicles, healthcare diagnostics, and product categorization.
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Video Annotation
Enhance your computer vision models for object detection, identification, tracking or classification with our video annotation services.
Employing methods like bounding boxes, polygon annotation, key point annotation, and semantic segmentation, we cater to diverse industries, including self-driving cars, drones, and robotics.
Text Annotation
Our text annotation services support your natural language processing (NLP) models for sentiment analysis, intent analysis, and named entity recognition (NER) tasks. With expertise in advanced annotation tools, we handle large volumes of data swiftly, optimizing efficiency and saving valuable time.
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Audio Transcription and Annotation
Leverage your audio data to the fullest with our audio transcription and annotation services. Whether it’s for market research, conversational AI, or speech recognition, we provide the foundation for powerful AI-driven applications.
Generation for Generative AI
Our data generation services support the training of generative AI models, including conversational AI. We specialize in image captioning, providing expert feedback to coding and PhD level STEM tasks, and other data generation tasks to provide robust training datasets. These services are designed to enhance the capabilities of AI systems, and generate human-like responses and interactions.
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Looking to collect specialized training data for your models? Check out our Data Collection Services page for more information.
Industries Using Data Annotation Today
Our data annotation and labeling services are integral to innovation across multiple industries, driving innovation and efficiency:
Healthcare
Enhances diagnostic tools and patient care through precise image annotation of medical scans.
Finance
Improves market trend analysis and customer insights for better decision-making and risk management.
Government
Supports public sentiment analysis, policy-making, and security monitoring with accurate data.
Autonomous Vehicles
Enables safe and effective self-driving technology through detailed image and video annotation.
Commerce & Retail
Personalized shopping experiences and refines digital marketing strategies with annotated customer data.
Social Media
Informs marketing strategies and boosts engagement by analyzing sentiment and opinions.
Legal
Automates contract review and case research, increasing efficiency and accuracy in legal processes.
Manufacturing & Supply Chain
Optimizes production and logistics through detailed annotation of operational data.
Academia
Facilitates research and data analysis with annotated educational and scientific data.
Aviation and Defense
Enhances safety and operational efficiency through precise annotation of surveillance and sensor data.
Energy
Improves resource management and predictive maintenance with annotated data from energy systems.
Tech & IT
Supports development and refinement of AI applications with accurate data labeling and annotation.
AI Solutions We have Improved
Our AI data annotation services empower advanced AI solutions across various industries, ensuring accuracy and efficiency in every application. As a leading AI data annotation company, we deliver precise and reliable annotations that enhance the performance of AI-driven technologies.
Book Extraction for LLM Training
Goal:
The project aimed to enhance LLMs’ reasoning abilities by extracting and annotating around 14,000 Q&A pairs from publicly available eBooks in subjects like Physics, Math, English, Finance, Economics, and Biochemistry.
Our Approach:
We structured data from complex passages, ensuring each answer had detailed explanations. Math equations and chemical formulas, which posed significant challenges due to their complexity, were manually entered using special symbols to maintain scientific accuracy. Long solutions, especially in Math, required precise, manual transcription to capture the detailed problem-solving processes.
Challenges & Accomplishments:
Handling diagrams, tables, overlapping bounding boxes, and the need to pair questions and answers across separate pages were major hurdles. However, through adaptive methods and evolving instructions, we successfully delivered a robust, well-structured dataset, driving deeper LLM training in reasoning across STEM fields.
This project highlights our ability to manage large-scale, complex data extraction with precision.
Skeleton Annotation - Human Joint Movement Tracking
The objective of the Skeleton Annotation Project was to accurately track the human joint movements of both hands, capturing 21 points per hand in every third frame. This facilitated the precise digital recreation of hand movements involved in electronic device assembly across approximately 4,500 videos, ensuring detailed motion tracking for high-quality digital replication.
Our Approach:
To achieve this, we developed a comprehensive annotation framework that focused on accurately identifying and marking joint movements. Our team faced significant challenges, including tracking movements when individual wore gloves, which often obscured finger visibility.
We encountered difficulties with blurred frames and occlusions where hands were hidden behind objects, complicating the identification of individual fingers. Additionally, distinguishing which finger belonged to which hand when both were together presented a unique challenge. Despite these obstacles, we successfully annotated all videos, delivering a detailed and reliable dataset that enhances the digital reconstruction of hand movements. This project showcases our expertise in navigating complex annotation tasks with precision and adaptability.
Hockey Puck Tracking
Goal:
The primary objective of this project was to accurately track and annotate the movement of the hockey puck in gameplay videos, classifying its position relative to the ground.
Approach:
Over a six-month period, we processed a substantial volume of gameplay footage captured from multiple angles. Our team utilized advanced key point annotation techniques to meticulously track the puck’s movement frame-by-frame, ensuring precise classification based on its position relative to the ground. This systematic approach allowed us to manage large datasets effectively while maintaining high accuracy in annotations.
Challenges & Accomplishments:
We faced significant challenges, including hazy and pixelated videos that obscured the puck’s visibility. Despite these obstacles, we consistently achieved high accuracy in our annotations, successfully centering the key point on the puck throughout the videos, even in low-quality frames. This accomplishment not only enhanced the understanding of puck dynamics but also provided valuable insights for performance analysis and coaching strategies.
Rooftop Solar Panel Analysis for Optimal Installation
Goal:
The objective was to assess 30,000 houses to identify ideal rooftop spaces for solar panel installation, optimizing for maximum solar energy capture.
Our Approach:
We processed the dataset within an impressive 1-month timeline. This involved analyzing each rooftop, even in cases where street views were unavailable. In such scenarios, we used a combination of Bing and Google Maps, relying on expert intuition to locate properties and ensure accurate assessments.
Challenges & Accomplishments:
The key challenge of missing street views was overcome by leveraging mapping tools and intuitive problem-solving techniques. Our team successfully delivered a comprehensive analysis of 30,000 properties, ensuring precise identification of suitable solar panel installation areas, all within a tight deadline.
This project showcases our expertise in large-scale data annotation and analysis, even under challenging conditions.
Property Image Classification for a Home Rental Marketplace
Goal:
The objective of this project was to help a home rental marketplace identify the top property images for display based on criteria such as lighting and picture quality, ultimately enhancing user engagement and improving property listings.
Approach:
We processed and classified approximately 500 property images, evaluating each against factors like lighting, composition, and clarity. As the client’s instructions evolved, we adapted quickly to ensure compliance with updated standards, meticulously reviewing each image to align with the marketplace’s display criteria.
Challenges & Accomplishments:
The project encountered challenges due to varying image quality and subjective assessments of elements like lighting and composition. Despite these complexities, we maintained consistency in labeling by adhering to well-defined criteria, successfully delivering the project on time and enabling the marketplace to showcase the most visually appealing property images effectively.
Data Annotation Techniques & Technology Stack
At Biz-Tech Analytics, we leverage industry-leading tools and techniques to ensure that every dataset is annotated with precision.
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We accurately extract text from scanned images and documents, making it accessible for further processing and analysis.
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Our team categorizes text snippets and documents into predefined categories, aiding in efficient data management and retrieval.
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We annotate and extract structured text that matches specific criteria, ensuring valuable information is easily identified within text documents.
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We generate and collect text data in multiple languages, following precise instructions to create robust training datasets for NLP models.
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We draw and annotate bounding boxes around areas of interest in images and videos, facilitating accurate object detection and classification.
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Our video annotation services include categorizing the contents of images and videos based on the labels you provide, ensuring consistency and accuracy in data labeling.
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We employ 3D cuboid annotation to capture the depth and orientation of objects, enabling a more comprehensive understanding of visual data.
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We draw and annotate polygons around complex shapes and objects in images and videos, providing detailed and precise annotations for specific areas of interest.
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Our team creates masks and vectors around items of interest in images and videos, allowing for detailed segmentation and analysis of visual content.
The Tools Used for Data Annotation
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Dataloop
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SuperAnnotate
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CVAT
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V7
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Labelbox
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LabelStudio
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Sentisight.AI
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Supervisely
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Redbrick & ITK Snap
These tools, combined with our expertise, ensure that we can handle a wide variety of data formats and annotation types efficiently and at scale.
Our Data Annotation Process
1. Connect with Our Experts
Start by connecting with our experts to discuss your data-related needs. This initial consultation will allow us to understand your requirements and allow you to learn more about our process.
2. Sample Annotation and Free Trial
Provide us with sample data and instructions. Our team will annotate these samples and return them to you for approval. This free trial helps us grasp your specific needs while giving you a chance to evaluate our process and the quality of our work.
3. Workflow Creation and Execution Planning
Once you’re satisfied with the sample annotations, we create detailed workflows and end-to-end execution plans. We carefully select the appropriate annotation tools and assign labelers and managers to ensure smooth execution.
4. Project Finalization
After reviewing and approving the sample annotations, execution plan, and workflow, we’ll finalize the project terms. With everything in place, we can officially begin working on your project.
5. Secure Data Sharing and Delivery
Share your data securely with our team in your preferred format. We’ll annotate the data and deliver it back to you in that format, adhering strictly to your timeline.
6. Feedback and Quality Control
We continually collect your feedback to refine and enhance the quality and accuracy of the labeled data. Additionally, we maintain operational transparency and provide any requested metrics related to quality control throughout the project.
We at Biz-Tech Analytics ensure that the quality of your labelled data is top-tier
With the rise of the Data-Centric approach to AI/ML in the last year, high-quality labeled data is more important than ever. Improving the quality of labels on a dataset has shown unparalleled performance gains with the same model in a variety of use-cases.
Here at Biz-Tech Analytics, we ensure the quality of your labeled data is top-tier, and offer guaranteed precision and recall percentages, as per your requirements. Our team has processes and safeguards in place to ensure your data is labeled consistently and accurately. In addition to our own Quality Control measures, we are agile and flexible enough to incorporate your inputs into our workflow.
Why Choose Us?
At Biz-Tech Analytics, we deliver precise and scalable data annotation solutions across text, image, audio, and video domains. Our extensive experience and specialized team ensure top-quality results tailored to meet your specific needs. We offer:
Expertise and Experience
With three years in Data Services, BTA’s team excels in managing complex data tasks through deep industry expertise and a refined workflow. Our specialists deliver tailored solutions across various industries.
Customer Satisfaction
Boasting a 95% customer retention rate, our high-quality service consistently earns client loyalty, reflecting our exceptional performance and reliability.
Scalability and Platform Agnosticism
Whether it’s a small project or large-scale data annotation, we provide solutions that scale with your business. We set up teams with minimal ramp-up time, and have our own AI-assisted processes in place to ensure we are able to continually train and onboard highly skilled annotators.
We integrate seamlessly across platforms, meeting diverse client requirements with adaptability and precision.
Flexibility and Best Practices
We employ agile methodologies and adhere to responsible AI principles to deliver flexible, ethically sound solutions tailored to each client’s needs.
Key Facts about our Data Annotation Services
- Highly accurate and scalable annotation solutions
- Customized, client-specific data
- Cost-effective, high-quality labeled data
- Specialized workforces across various industries
- Proven Track Record in data annotation
FAQ Section
Why is data labeling important?
Data labeling services are essential because it provides the annotated information needed to train AI and machine learning models effectively. Accurate labels ensure that models can learn from well-defined examples, leading to better performance and reliable outcomes.
How can annotated data improve the performance of AI and ML models?
Annotated data improves AI and ML model performance by providing clear, structured input for training algorithms. High-quality AI data annotations services help models learn more effectively, resulting in enhanced accuracy, better predictions, and more reliable results.
What are the steps of a data annotation project?
A data annotation project generally follows these steps:
- Initial Sample Approval: Annotating a sample set and refining guidelines based on feedback.
- Dual Annotation and Review: Two laborers work on each instance, with discrepancies reviewed by a senior expert.
- Dataset Sampling and Verification: Random checks and adjustments to ensure the dataset meets quality standards.
- Continuous Improvement: Ongoing refinement of processes based on performance metrics.
What do data annotation companies do?
AI Data annotation companies like BTA provide specialized Data Annotation and Labeling Services to create accurate, high-quality training data for AI and ML models. They handle tasks across various domains, including text, image, audio, and video, ensuring that the data is correctly labeled and meets specific project requirements.